Two-way sync
Changes in Jms or Wrike instantly reflect in both systems. No stale data, no manual imports.
Keep Jms and Wrike in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Wrike is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jms is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Workflows, Spaces, Tasks, Folders & Projects in Wrike with MapMessage, BytesMessage, Durable Subscription, Message headers and properties in Jms field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
A ticket or request raised in Wrike opens or updates a matching issue in Jms, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Wrike publish to the queue or topic in Jms as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Wrike stay matched to the users in Jms, so access, provisioning, and org changes propagate instead of being keyed in twice.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Jms objects | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. | Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. | BytesMessage is specific to Jms and Workflows to Wrike — each maps to any object or custom field on the other side. | |
| Durable Subscription Named topic subscription that retains messages while the consumer is offline, so a sync that disconnects does not miss events published in the meantime. | Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. | Durable Subscription is specific to Jms and Spaces to Wrike — each maps to any object or custom field on the other side. | |
| Message headers and properties JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering. | Tasks The primary unit of work and main record; created, updated, completed, and deleted via the REST v4 API and synced two-way. Subtasks are Tasks linked by superTask/subTask references. | Message headers and properties is specific to Jms and Tasks to Wrike — each maps to any object or custom field on the other side. | |
| Dead Letter Queue Provider-managed destination (e.g. ActiveMQ.DLQ, IBM MQ dead-letter queue) where messages exceeding redelivery limits land; read to reconcile failed deliveries. | Folders & Projects The container hierarchy: Folders group Tasks, and Projects add dates, an owner, and a status. Each maps to a synced table scope, and its structure defines what a sync covers. | Dead Letter Queue is specific to Jms and Folders & Projects to Wrike — each maps to any object or custom field on the other side. | |
| Queue Point-to-point destination where each message is delivered to exactly one consumer. Stacksync consumes messages to load into a database, or publishes messages for a downstream Java service to process. | Custom Fields Typed fields (Text, Numeric, Date, DropDown, Contacts, Checkbox) defined at account or space level; mapped to database columns, with values written by field ID. | Queue is specific to Jms and Custom Fields to Wrike — each maps to any object or custom field on the other side. | |
| Topic Publish/subscribe destination that fans each message out to every active subscriber. Stacksync subscribes to event streams or publishes records so multiple services react. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Topic is specific to Jms and Comments to Wrike — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionJms notifies Stacksync of record changes through webhook events. Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling.
DeliveryEach detected change is written to Wrike through its API, with automatic retries and rate-limit backoff.
DetectionWrike notifies Stacksync of record changes through webhook events. Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event.
DeliveryEach detected change is written to Jms through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jms–Wrike connection.
Changes in Jms or Wrike instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jms or Wrike data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jms or Wrike record.
Track your Jms ⇄ Wrike sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jms and Wrike.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Jms and Wrike with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Jms and Wrike objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Jms and Wrike: authenticate both systems, choose the objects to sync (such as Jms's BytesMessage and Durable Subscription), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Jms and Wrike. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Jms: Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling. Message selectors (an SQL-92 subset over headers/properties) filter delivery. There is no modified-date polling or CDC replay, and queue consumption is destructive. On Wrike: Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event filtering and custom payload fields; polling the task updatedDate is the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Wrike side: Workflows, Spaces, Tasks, Folders & Projects, plus custom fields where Wrike exposes them. On the Jms side: MapMessage, BytesMessage, Durable Subscription, Message headers and properties. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Jms and Wrike: Where Jms tracks engineering work: requests become issues; Where Jms moves messages between services: activity lands on the stream; Where Jms is the directory or identity source: one set of users. A ticket or request raised in Wrike opens or updates a matching issue in Jms, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 390 integrations available for Jms and Wrike.